评估非裔美国女性工程师在人工智能领域的工作情绪

Schenita Floyd
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引用次数: 1

摘要

人工智能(AI)已经渗透到我们社会的每一个行业和方方面面。商业领袖已经看到了人工智能带来的转变,他们正在迅速做出反应,以保持竞争力。他们正在大力投资人工智能,并招聘工程师和其他技术专业人员,以利用基于人工智能的创新。工程师是问题解决者、创新者,处于人工智能技术的前沿;他们的日常工作需要消耗大量的信息来解决问题、改进现有产品或创造新产品。工程职位需要在男性主导的领域与同行、专家和其他有经验的工程师进行广泛的互动。男性主导导致许多女性工程师比男性同事经历更多的偏见和挑战,尤其是少数族裔女性工程师。随着人工智能渗透到我们的社会,少数族裔女性工程师面临的挑战是会减弱还是会增加,她们会参与并推动人工智能的创新吗?本研究论文的目的是评估非洲裔美国女性工程师在人工智能领域的职场情绪。为了评估非裔美国女性工程师在人工智能领域的工作经历,对从Twitter上提取的数据进行了机器学习文本分析。本研究的实际意义突出了非裔美国女性工程师的观点和经验,鼓励了非裔美国女性从事工程,并激励了未来从事人工智能相关职业的工程师。
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Assessing African American Women Engineers’ Workplace Sentiment within the AI Field
Artificial intelligence (AI) has infiltrated every industry and every aspect of our society. Business leaders have seen the shift AI has created and they are reacting swiftly to stay competitive. They are investing heavily in AI and hiring engineers and other technical professionals to capitalize on AI-based innovations. Engineers are problem solvers, innovators, and at the forefront of AI technologies; their daily jobs require the consumption of an enormous amount of information to solve problems, enhance existing products, or create new products. Engineering positions require extensive interaction with peers, experts, and other experienced engineers in a male-dominated field. Male dominance causes many women engineers to experience more biases and challenges than their male colleagues, especially minority women engineers. As AI infiltrates our society, will the challenges faced by minority women engineers subside or increase and will they participate in and drive innovations using AI? The purpose of this research paper is to assess the workplace sentiment of African American women engineers in the AI field. To assess African American women engineers’ workplace experiences within the AI field, machine learning text analysis was conducted on data extracted from Twitter. The practical implications of this research highlight African American women engineers’ perspectives and experiences, encourages African American women in engineering, and inspires future engineers in AI related careers.
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